PCA-SVM-Based Comprehensive Evaluation for Customer Relationship Management System of Power Supply Enterprise

Author

Sun, Wei ; Li, Shan

Author_Institution

North China Electr. Power Univ., Baoding

Volume

7

fYear

2007

fDate

19-22 Aug. 2007

Firstpage

3811

Lastpage

3814

Abstract

In view of a customer relationship management system in the practical application of the power supply enterprises , this paper design a comprehensive evaluation indicator system. Adopting principal component analysis method to simplify the indicator system. A evaluation model of customer relationship management system based on support vector machine was presented. Using the idea of decision binary tree, then makes the cut date to be the input information of classifier, and establish multi-classification model. The simulation result shows that the model has better accuracy of the classification.

Keywords

customer relationship management; decision trees; electricity supply industry; pattern classification; principal component analysis; support vector machines; comprehensive evaluation indicator system; customer relationship management system; decision binary tree; multiclassification model; power supply enterprise; principal component analysis; support vector machines; Customer relationship management; Cybernetics; Environmental management; Machine learning; Marketing and sales; Power supplies; Power system modeling; Principal component analysis; Support vector machine classification; Support vector machines; Customer relationship management; Principal component analysis; Support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2007 International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-0973-0

Electronic_ISBN

978-1-4244-0973-0

Type

conf

DOI

10.1109/ICMLC.2007.4370810

Filename

4370810